Title :
Cognitive engineering for decision support modeling of diagnostic tasks in a complex system
Author :
Ntuen, Celestine A.
Author_Institution :
Dept. of Ind. Eng., North Carolina A&T State Univ., Greensboro, NC, USA
Abstract :
In this paper, a new approach to diagnostic support modeling of a complex system maintenance process is described. From cognitive engineering perspective, methods for decomposing complex maintenance problems are developed. The “methods” are represented as intelligent diagnostic agents for use in a system level maintenance reasoning. Sample simulation results show that cognitive engineering driven diagnostic reasoning has higher performance reliability than the traditional rule-based (simulation) diagnostic systems
Keywords :
cognitive systems; decision support systems; diagnostic expert systems; maintenance engineering; cognitive engineering; complex maintenance problem decomposition; complex system maintenance process; decision support modeling; diagnostic tasks; intelligent diagnostic agents; performance reliability; rule-based diagnostic systems; rule-based simulation; system level maintenance reasoning; Artificial intelligence; Biological system modeling; Design engineering; Fault diagnosis; Humans; Knowledge engineering; Maintenance; Problem-solving; Reliability engineering; Sensor phenomena and characterization;
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4778-1
DOI :
10.1109/ICSMC.1998.725042
